I am an ardent researcher hoping to learn something new each day and contribute to the community. I currently work in SetuServ, a startup based in Chicago. I work as the Research Assistant here purusing research papers to understand them and try to get out new products.

Responsibilities:

I participate in client conversations and Understand business requirements on client projects, and implement appropriate NLP approaches to address the client’s requirements

Pre & post processing of data, I peruse current NLP implementations, and draw schematics to present my understanding back to the team

Build and streamline the complete process from collecting data to giving the results to the clients. As of now, I have tackled long reviews with skipgrams and by building ensemble learning of Convolution Neural Nets and Bidirectional Gated Recurrent Units.

I worked in a funded research project under Dr. Sathya Peri developing Software Transactional Memory (STM) algorithms which are convenient interface for programmer to access shared memory. Developed efficient middleware based on multi-version transactional memory system for multi-core systems. Along with this I worked on Concurrent Data Structures focusing on linked list which was also used to test the performance of the STM. Implemented Lazy linked list to improve the operations/sec unit of the threads running concurrently. This work has already been accepted as work under progress and is being submitted to a conference next month.

I took a formal appointment as a teaching assistant for Parallel and Distributed Computing and Operating Systems for 1.5 years. The work involved conducting tutorials, grading assignments and providing assistance during practical sessions which helped me strengthen my concepts. It also included conducting extra tutorials for answering queries regarding concepts and assignments. During this time, I also started taking extra classes for girls to help them perform better.

I joined a team to build a real-time visualization website from scratch and deploy it in StrandOmics. The website, which was developed using Angular JS, MySQL, Html, CSS, and Java, is now being used by Strand Life’s staff for gaining insights into data. The involvement tremendously improved my coding skills. It was also a hand-on practical experience in industrial product development and developed my ability to work within large project teams.

I worked with Prof. Subash Challa, the CEO & Founder of SenSen Networks. I developed an application which detects objects in images using python, OpenCV. It taught me the novelty of using machines and their parallel computing abilities using NVIDA CUDA architectures, to analyze patterns in real time.